Feat/CMRR uses simulate config (#3947)

* Added: simulate_request_to_config

* Use SimulateConfig for CMRR

* ./check

* Fix: ComputingRetention

* Use actual cards for optimal_retention
This commit is contained in:
Luc Mcgrady 2025-04-27 12:02:37 +01:00 committed by GitHub
parent e748cec5d1
commit ad073ab10c
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7 changed files with 117 additions and 207 deletions

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@ -51,7 +51,7 @@ service SchedulerService {
returns (ComputeFsrsParamsResponse); returns (ComputeFsrsParamsResponse);
rpc GetOptimalRetentionParameters(GetOptimalRetentionParametersRequest) rpc GetOptimalRetentionParameters(GetOptimalRetentionParametersRequest)
returns (GetOptimalRetentionParametersResponse); returns (GetOptimalRetentionParametersResponse);
rpc ComputeOptimalRetention(ComputeOptimalRetentionRequest) rpc ComputeOptimalRetention(SimulateFsrsReviewRequest)
returns (ComputeOptimalRetentionResponse); returns (ComputeOptimalRetentionResponse);
rpc SimulateFsrsReview(SimulateFsrsReviewRequest) rpc SimulateFsrsReview(SimulateFsrsReviewRequest)
returns (SimulateFsrsReviewResponse); returns (SimulateFsrsReviewResponse);
@ -409,16 +409,6 @@ message SimulateFsrsReviewResponse {
repeated float daily_time_cost = 4; repeated float daily_time_cost = 4;
} }
message ComputeOptimalRetentionRequest {
repeated float params = 1;
uint32 days_to_simulate = 2;
uint32 max_interval = 3;
string search = 4;
double loss_aversion = 5;
repeated float easy_days_percentages = 6;
optional uint32 suspend_after_lapse_count = 7;
}
message ComputeOptimalRetentionResponse { message ComputeOptimalRetentionResponse {
float optimal_retention = 1; float optimal_retention = 1;
} }

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@ -1,18 +1,12 @@
// Copyright: Ankitects Pty Ltd and contributors // Copyright: Ankitects Pty Ltd and contributors
// License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html // License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
use std::sync::Arc; use anki_proto::scheduler::SimulateFsrsReviewRequest;
use anki_proto::scheduler::ComputeOptimalRetentionRequest;
use fsrs::extract_simulator_config; use fsrs::extract_simulator_config;
use fsrs::PostSchedulingFn;
use fsrs::SimulatorConfig; use fsrs::SimulatorConfig;
use fsrs::FSRS; use fsrs::FSRS;
use super::simulator::apply_load_balance_and_easy_days;
use crate::prelude::*; use crate::prelude::*;
use crate::revlog::RevlogEntry; use crate::revlog::RevlogEntry;
use crate::scheduler::states::load_balancer::parse_easy_days_percentages;
use crate::search::SortMode;
#[derive(Default, Clone, Copy, Debug)] #[derive(Default, Clone, Copy, Debug)]
pub struct ComputeRetentionProgress { pub struct ComputeRetentionProgress {
@ -21,65 +15,16 @@ pub struct ComputeRetentionProgress {
} }
impl Collection { impl Collection {
pub fn compute_optimal_retention( pub fn compute_optimal_retention(&mut self, req: SimulateFsrsReviewRequest) -> Result<f32> {
&mut self,
req: ComputeOptimalRetentionRequest,
) -> Result<f32> {
let mut anki_progress = self.new_progress_handler::<ComputeRetentionProgress>(); let mut anki_progress = self.new_progress_handler::<ComputeRetentionProgress>();
let fsrs = FSRS::new(None)?; let fsrs = FSRS::new(None)?;
if req.days_to_simulate == 0 { if req.days_to_simulate == 0 {
invalid_input!("no days to simulate") invalid_input!("no days to simulate")
} }
let revlogs = self let (config, cards) = self.simulate_request_to_config(&req)?;
.search_cards_into_table(&req.search, SortMode::NoOrder)?
.col
.storage
.get_revlog_entries_for_searched_cards_in_card_order()?;
let p = self.get_optimal_retention_parameters(revlogs)?;
let learn_span = req.days_to_simulate as usize;
let learn_limit = 10;
let deck_size = learn_span * learn_limit;
let easy_days_percentages = parse_easy_days_percentages(req.easy_days_percentages)?;
let next_day_at = self.timing_today()?.next_day_at;
let post_scheduling_fn: Option<PostSchedulingFn> =
if self.get_config_bool(BoolKey::LoadBalancerEnabled) {
Some(PostSchedulingFn(Arc::new(
move |card, max_interval, today, due_cnt_per_day, rng| {
apply_load_balance_and_easy_days(
card.interval,
max_interval,
today,
due_cnt_per_day,
rng,
next_day_at,
&easy_days_percentages,
)
},
)))
} else {
None
};
Ok(fsrs Ok(fsrs
.optimal_retention( .optimal_retention(
&SimulatorConfig { &config,
deck_size,
learn_span: req.days_to_simulate as usize,
max_cost_perday: f32::MAX,
max_ivl: req.max_interval as f32,
first_rating_prob: p.first_rating_prob,
review_rating_prob: p.review_rating_prob,
learn_limit,
review_limit: usize::MAX,
new_cards_ignore_review_limit: true,
suspend_after_lapses: None,
post_scheduling_fn,
review_priority_fn: None,
learning_step_transitions: p.learning_step_transitions,
relearning_step_transitions: p.relearning_step_transitions,
state_rating_costs: p.state_rating_costs,
learning_step_count: p.learning_step_count,
relearning_step_count: p.relearning_step_count,
},
&req.params, &req.params,
|ip| { |ip| {
anki_progress anki_progress
@ -88,7 +33,7 @@ impl Collection {
}) })
.is_ok() .is_ok()
}, },
None, Some(cards),
)? )?
.clamp(0.7, 0.95)) .clamp(0.7, 0.95))
} }

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@ -115,10 +115,10 @@ fn create_review_priority_fn(
} }
impl Collection { impl Collection {
pub fn simulate_review( pub fn simulate_request_to_config(
&mut self, &mut self,
req: SimulateFsrsReviewRequest, req: &SimulateFsrsReviewRequest,
) -> Result<SimulateFsrsReviewResponse> { ) -> Result<(SimulatorConfig, Vec<fsrs::Card>)> {
let guard = self.search_cards_into_table(&req.search, SortMode::NoOrder)?; let guard = self.search_cards_into_table(&req.search, SortMode::NoOrder)?;
let revlogs = guard let revlogs = guard
.col .col
@ -170,7 +170,7 @@ impl Collection {
let deck_size = converted_cards.len(); let deck_size = converted_cards.len();
let p = self.get_optimal_retention_parameters(revlogs)?; let p = self.get_optimal_retention_parameters(revlogs)?;
let easy_days_percentages = parse_easy_days_percentages(req.easy_days_percentages)?; let easy_days_percentages = parse_easy_days_percentages(&req.easy_days_percentages)?;
let next_day_at = self.timing_today()?.next_day_at; let next_day_at = self.timing_today()?.next_day_at;
let post_scheduling_fn: Option<PostSchedulingFn> = let post_scheduling_fn: Option<PostSchedulingFn> =
@ -217,12 +217,21 @@ impl Collection {
learning_step_count: p.learning_step_count, learning_step_count: p.learning_step_count,
relearning_step_count: p.relearning_step_count, relearning_step_count: p.relearning_step_count,
}; };
Ok((config, converted_cards))
}
pub fn simulate_review(
&mut self,
req: SimulateFsrsReviewRequest,
) -> Result<SimulateFsrsReviewResponse> {
let (config, cards) = self.simulate_request_to_config(&req)?;
let result = simulate( let result = simulate(
&config, &config,
&req.params, &req.params,
req.desired_retention, req.desired_retention,
None, None,
Some(converted_cards), Some(cards),
)?; )?;
Ok(SimulateFsrsReviewResponse { Ok(SimulateFsrsReviewResponse {
accumulated_knowledge_acquisition: result.memorized_cnt_per_day, accumulated_knowledge_acquisition: result.memorized_cnt_per_day,

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@ -9,7 +9,6 @@ use anki_proto::generic;
use anki_proto::scheduler; use anki_proto::scheduler;
use anki_proto::scheduler::ComputeFsrsParamsResponse; use anki_proto::scheduler::ComputeFsrsParamsResponse;
use anki_proto::scheduler::ComputeMemoryStateResponse; use anki_proto::scheduler::ComputeMemoryStateResponse;
use anki_proto::scheduler::ComputeOptimalRetentionRequest;
use anki_proto::scheduler::ComputeOptimalRetentionResponse; use anki_proto::scheduler::ComputeOptimalRetentionResponse;
use anki_proto::scheduler::FsrsBenchmarkResponse; use anki_proto::scheduler::FsrsBenchmarkResponse;
use anki_proto::scheduler::FuzzDeltaRequest; use anki_proto::scheduler::FuzzDeltaRequest;
@ -284,7 +283,7 @@ impl crate::services::SchedulerService for Collection {
fn compute_optimal_retention( fn compute_optimal_retention(
&mut self, &mut self,
input: ComputeOptimalRetentionRequest, input: SimulateFsrsReviewRequest,
) -> Result<ComputeOptimalRetentionResponse> { ) -> Result<ComputeOptimalRetentionResponse> {
Ok(ComputeOptimalRetentionResponse { Ok(ComputeOptimalRetentionResponse {
optimal_retention: self.compute_optimal_retention(input)?, optimal_retention: self.compute_optimal_retention(input)?,

View file

@ -277,7 +277,7 @@ impl LoadBalancer {
} }
} }
pub(crate) fn parse_easy_days_percentages(percentages: Vec<f32>) -> Result<[EasyDay; 7]> { pub(crate) fn parse_easy_days_percentages(percentages: &[f32]) -> Result<[EasyDay; 7]> {
if percentages.is_empty() { if percentages.is_empty() {
return Ok([EasyDay::Normal; 7]); return Ok([EasyDay::Normal; 7]);
} }
@ -300,7 +300,7 @@ pub(crate) fn build_easy_days_percentages(
.into_iter() .into_iter()
.map(|(dcid, conf)| { .map(|(dcid, conf)| {
let easy_days_percentages = let easy_days_percentages =
parse_easy_days_percentages(conf.inner.easy_days_percentages)?; parse_easy_days_percentages(&conf.inner.easy_days_percentages)?;
Ok((dcid, easy_days_percentages)) Ok((dcid, easy_days_percentages))
}) })
.collect() .collect()

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@ -7,13 +7,9 @@ License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
ComputeRetentionProgress, ComputeRetentionProgress,
type ComputeParamsProgress, type ComputeParamsProgress,
} from "@generated/anki/collection_pb"; } from "@generated/anki/collection_pb";
import { import { SimulateFsrsReviewRequest } from "@generated/anki/scheduler_pb";
ComputeOptimalRetentionRequest,
SimulateFsrsReviewRequest,
} from "@generated/anki/scheduler_pb";
import { import {
computeFsrsParams, computeFsrsParams,
computeOptimalRetention,
evaluateParams, evaluateParams,
setWantsAbort, setWantsAbort,
} from "@generated/backend"; } from "@generated/backend";
@ -26,7 +22,6 @@ License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
import GlobalLabel from "./GlobalLabel.svelte"; import GlobalLabel from "./GlobalLabel.svelte";
import { commitEditing, fsrsParams, type DeckOptionsState } from "./lib"; import { commitEditing, fsrsParams, type DeckOptionsState } from "./lib";
import SpinBoxFloatRow from "./SpinBoxFloatRow.svelte"; import SpinBoxFloatRow from "./SpinBoxFloatRow.svelte";
import SpinBoxRow from "./SpinBoxRow.svelte";
import Warning from "./Warning.svelte"; import Warning from "./Warning.svelte";
import ParamsInputRow from "./ParamsInputRow.svelte"; import ParamsInputRow from "./ParamsInputRow.svelte";
import ParamsSearchRow from "./ParamsSearchRow.svelte"; import ParamsSearchRow from "./ParamsSearchRow.svelte";
@ -37,8 +32,6 @@ License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
export let openHelpModal: (String) => void; export let openHelpModal: (String) => void;
export let onPresetChange: () => void; export let onPresetChange: () => void;
const presetName = state.currentPresetName;
const config = state.currentConfig; const config = state.currentConfig;
const defaults = state.defaults; const defaults = state.defaults;
const fsrsReschedule = state.fsrsReschedule; const fsrsReschedule = state.fsrsReschedule;
@ -50,13 +43,8 @@ License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
let computeParamsProgress: ComputeParamsProgress | undefined; let computeParamsProgress: ComputeParamsProgress | undefined;
let computingParams = false; let computingParams = false;
let checkingParams = false; let checkingParams = false;
let computingRetention = false;
let optimalRetention = 0; $: computing = computingParams || checkingParams;
$: if ($presetName) {
optimalRetention = 0;
}
$: computing = computingParams || checkingParams || computingRetention;
$: defaultparamSearch = `preset:"${state.getCurrentNameForSearch()}" -is:suspended`; $: defaultparamSearch = `preset:"${state.getCurrentNameForSearch()}" -is:suspended`;
$: roundedRetention = Number($config.desiredRetention.toFixed(2)); $: roundedRetention = Number($config.desiredRetention.toFixed(2));
$: desiredRetentionWarning = getRetentionWarning( $: desiredRetentionWarning = getRetentionWarning(
@ -65,19 +53,6 @@ License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
); );
$: retentionWarningClass = getRetentionWarningClass(roundedRetention); $: retentionWarningClass = getRetentionWarningClass(roundedRetention);
let computeRetentionProgress:
| ComputeParamsProgress
| ComputeRetentionProgress
| undefined;
const optimalRetentionRequest = new ComputeOptimalRetentionRequest({
daysToSimulate: 365,
lossAversion: 2.5,
});
$: if (optimalRetentionRequest.daysToSimulate > 3650) {
optimalRetentionRequest.daysToSimulate = 3650;
}
$: newCardsIgnoreReviewLimit = state.newCardsIgnoreReviewLimit; $: newCardsIgnoreReviewLimit = state.newCardsIgnoreReviewLimit;
$: simulateFsrsRequest = new SimulateFsrsReviewRequest({ $: simulateFsrsRequest = new SimulateFsrsReviewRequest({
@ -233,44 +208,7 @@ License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
} }
} }
async function computeRetention(): Promise<void> {
if (computingRetention) {
await setWantsAbort({});
return;
}
if (state.presetAssignmentsChanged()) {
alert(tr.deckConfigPleaseSaveYourChangesFirst());
return;
}
computingRetention = true;
computeRetentionProgress = undefined;
try {
await runWithBackendProgress(
async () => {
optimalRetentionRequest.maxInterval = $config.maximumReviewInterval;
optimalRetentionRequest.params = fsrsParams($config);
optimalRetentionRequest.search = `preset:"${state.getCurrentNameForSearch()}" -is:suspended`;
optimalRetentionRequest.easyDaysPercentages =
$config.easyDaysPercentages;
const resp = await computeOptimalRetention(optimalRetentionRequest);
optimalRetention = resp.optimalRetention;
computeRetentionProgress = undefined;
},
(progress) => {
if (progress.value.case === "computeRetention") {
computeRetentionProgress = progress.value.value;
}
},
);
} finally {
computingRetention = false;
}
}
$: computeParamsProgressString = renderWeightProgress(computeParamsProgress); $: computeParamsProgressString = renderWeightProgress(computeParamsProgress);
$: computeRetentionProgressString = renderRetentionProgress(
computeRetentionProgress,
);
$: totalReviews = computeParamsProgress?.reviews ?? undefined; $: totalReviews = computeParamsProgress?.reviews ?? undefined;
function renderWeightProgress(val: ComputeParamsProgress | undefined): String { function renderWeightProgress(val: ComputeParamsProgress | undefined): String {
@ -285,22 +223,6 @@ License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
} }
} }
function renderRetentionProgress(
val: ComputeRetentionProgress | undefined,
): String {
if (!val) {
return "";
}
return tr.deckConfigIterations({ count: val.current });
}
function estimatedRetention(retention: number): String {
if (!retention) {
return "";
}
return tr.deckConfigPredictedOptimalRetention({ num: retention.toFixed(2) });
}
async function computeAllParams(): Promise<void> { async function computeAllParams(): Promise<void> {
await commitEditing(); await commitEditing();
state.save(UpdateDeckConfigsMode.COMPUTE_ALL_PARAMS); state.save(UpdateDeckConfigsMode.COMPUTE_ALL_PARAMS);
@ -390,49 +312,6 @@ License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
{/if} {/if}
</div> </div>
<div class="m-2">
<details>
<summary>{tr.deckConfigComputeOptimalRetention()}</summary>
<SpinBoxRow
bind:value={optimalRetentionRequest.daysToSimulate}
defaultValue={365}
min={1}
max={3650}
>
<SettingTitle on:click={() => openHelpModal("computeOptimalRetention")}>
{tr.deckConfigDaysToSimulate()}
</SettingTitle>
</SpinBoxRow>
<button
class="btn {computingRetention ? 'btn-warning' : 'btn-primary'}"
disabled={!computingRetention && computing}
on:click={() => computeRetention()}
>
{#if computingRetention}
{tr.actionsCancel()}
{:else}
{tr.deckConfigComputeButton()}
{/if}
</button>
{#if optimalRetention}
{estimatedRetention(optimalRetention)}
{#if optimalRetention - $config.desiredRetention >= 0.01}
<Warning
warning={tr.deckConfigDesiredRetentionBelowOptimal()}
className="alert-warning"
/>
{/if}
{/if}
{#if computingRetention}
<div>{computeRetentionProgressString}</div>
{/if}
</details>
</div>
<div class="m-2"> <div class="m-2">
<button class="btn btn-primary" on:click={() => (showSimulator = true)}> <button class="btn btn-primary" on:click={() => (showSimulator = true)}>
{tr.deckConfigFsrsSimulatorExperimental()} {tr.deckConfigFsrsSimulatorExperimental()}

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@ -16,9 +16,10 @@ License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
import { SimulateSubgraph, type Point } from "../graphs/simulator"; import { SimulateSubgraph, type Point } from "../graphs/simulator";
import * as tr from "@generated/ftl"; import * as tr from "@generated/ftl";
import { renderSimulationChart } from "../graphs/simulator"; import { renderSimulationChart } from "../graphs/simulator";
import { simulateFsrsReview } from "@generated/backend"; import { computeOptimalRetention, simulateFsrsReview } from "@generated/backend";
import { runWithBackendProgress } from "@tslib/progress"; import { runWithBackendProgress } from "@tslib/progress";
import type { import type {
ComputeOptimalRetentionResponse,
SimulateFsrsReviewRequest, SimulateFsrsReviewRequest,
SimulateFsrsReviewResponse, SimulateFsrsReviewResponse,
} from "@generated/anki/scheduler_pb"; } from "@generated/anki/scheduler_pb";
@ -30,6 +31,8 @@ License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
import EnumSelectorRow from "$lib/components/EnumSelectorRow.svelte"; import EnumSelectorRow from "$lib/components/EnumSelectorRow.svelte";
import { DeckConfig_Config_LeechAction } from "@generated/anki/deck_config_pb"; import { DeckConfig_Config_LeechAction } from "@generated/anki/deck_config_pb";
import EasyDaysInput from "./EasyDaysInput.svelte"; import EasyDaysInput from "./EasyDaysInput.svelte";
import Warning from "./Warning.svelte";
import type { ComputeRetentionProgress } from "@generated/anki/collection_pb";
export let shown = false; export let shown = false;
export let state: DeckOptionsState; export let state: DeckOptionsState;
@ -53,9 +56,14 @@ License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
let suspendLeeches = $config.leechAction == DeckConfig_Config_LeechAction.SUSPEND; let suspendLeeches = $config.leechAction == DeckConfig_Config_LeechAction.SUSPEND;
let leechThreshold = $config.leechThreshold; let leechThreshold = $config.leechThreshold;
let optimalRetention: null | number = null;
let computingRetention = false;
let computeRetentionProgress: ComputeRetentionProgress | undefined = undefined;
$: daysToSimulate = 365; $: daysToSimulate = 365;
$: deckSize = 0; $: deckSize = 0;
$: windowSize = Math.ceil(daysToSimulate / 365); $: windowSize = Math.ceil(daysToSimulate / 365);
$: processing = simulating || computingRetention;
function movingAverage(y: number[], windowSize: number): number[] { function movingAverage(y: number[], windowSize: number): number[] {
const result: number[] = []; const result: number[] = [];
@ -75,14 +83,61 @@ License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
return arr1.map((value, index) => value + arr2[index]); return arr1.map((value, index) => value + arr2[index]);
} }
async function simulateFsrs(): Promise<void> { function estimatedRetention(retention: number): String {
let resp: SimulateFsrsReviewResponse | undefined; if (!retention) {
return "";
}
return tr.deckConfigPredictedOptimalRetention({ num: retention.toFixed(2) });
}
function updateRequest() {
simulateFsrsRequest.daysToSimulate = daysToSimulate; simulateFsrsRequest.daysToSimulate = daysToSimulate;
simulateFsrsRequest.deckSize = deckSize; simulateFsrsRequest.deckSize = deckSize;
simulateFsrsRequest.suspendAfterLapseCount = suspendLeeches simulateFsrsRequest.suspendAfterLapseCount = suspendLeeches
? leechThreshold ? leechThreshold
: undefined; : undefined;
simulateFsrsRequest.easyDaysPercentages = easyDayPercentages; simulateFsrsRequest.easyDaysPercentages = easyDayPercentages;
}
function renderRetentionProgress(
val: ComputeRetentionProgress | undefined,
): String {
if (!val) {
return "";
}
return tr.deckConfigIterations({ count: val.current });
}
$: computeRetentionProgressString = renderRetentionProgress(
computeRetentionProgress,
);
async function computeRetention() {
let resp: ComputeOptimalRetentionResponse | undefined;
updateRequest();
try {
await runWithBackendProgress(
async () => {
computingRetention = true;
resp = await computeOptimalRetention(simulateFsrsRequest);
},
(progress) => {
if (progress.value.case === "computeRetention") {
computeRetentionProgress = progress.value.value;
}
},
);
} finally {
computingRetention = false;
if (resp) {
optimalRetention = resp.optimalRetention;
}
}
}
async function simulateFsrs(): Promise<void> {
let resp: SimulateFsrsReviewResponse | undefined;
updateRequest();
try { try {
await runWithBackendProgress( await runWithBackendProgress(
async () => { async () => {
@ -328,6 +383,39 @@ License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
{/if} {/if}
</details> </details>
<div class="m-2">
<details>
<summary>{tr.deckConfigComputeOptimalRetention()}</summary>
<button
class="btn {computingRetention
? 'btn-warning'
: 'btn-primary'}"
disabled={!computingRetention && computing}
on:click={() => computeRetention()}
>
{#if computingRetention}
{tr.actionsCancel()}
{:else}
{tr.deckConfigComputeButton()}
{/if}
</button>
{#if optimalRetention}
{estimatedRetention(optimalRetention)}
{#if optimalRetention - $config.desiredRetention >= 0.01}
<Warning
warning={tr.deckConfigDesiredRetentionBelowOptimal()}
className="alert-warning"
/>
{/if}
{/if}
{#if computingRetention}
<div>{computeRetentionProgressString}</div>
{/if}
</details>
</div>
<button <button
class="btn {computing ? 'btn-warning' : 'btn-primary'}" class="btn {computing ? 'btn-warning' : 'btn-primary'}"
disabled={computing} disabled={computing}
@ -366,7 +454,7 @@ License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
{tr.deckConfigSaveOptionsToPreset()} {tr.deckConfigSaveOptionsToPreset()}
</button> </button>
{#if simulating} {#if processing}
{tr.actionsProcessing()} {tr.actionsProcessing()}
{/if} {/if}